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I'm a Highly accomplished and results-oriented Engineer with extensive experience in **Full-stack Development, Artificial Intelligence (AI), Cloud Computing, and MLOps/AI** Pipelines I help engineers here—especially those early in their journey—build real-world skills through code reviews, system design, and project guidance. My approach is grounded in clarity, scalability, and long-term growth.
I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.
Experienced **Senior Full Stack Engineer** with 5+ years of experience in Python and Javascript, delivering scalable web applications and optimizing system architecture. Skilled in solving technical challenges and driving innovation. Eager to join a dynamic team to contribute to impactful projects, fostering growth and technological advancement in high-performance environments.
Experienced Full Stack & Blockchain & AI/ ML Developer with 10+ years of success building decentralized, real-time web applications and optimizing legacy systems. Specialized in EVM smart contract development, crypto payments, and Web3 integrations (Metamask, WalletConnect, Coinbase Wallet). Also Specialized in LLMs (GPT-4, LangChain, Haystack), RAG pipelines, and intelligent agent workflows. Proven track record in modernizing codebases, scaling blockchain infrastructure, and enhancing UI/UX fsor Web3 ecosystems. Adept at Solidity, Node.js, Golang, React, and cloud-native DevOps. Passionate about revolutionizing digital experiences in music, finance, and identity through blockchain.
Senior BI/Data Analytics Consultant, a committed software engineer who seeks to develop elegant solutions to business challenges. My driving force is the passion that pushes me to seek new heights and keep learning the latest ideas, platforms, frameworks, tools, and best practices. I believe in a world of personal and professional growth for all of us and in this spirit, I am always ready to learn and offer to share my expertise as a mentor and a Codementor.
As a Generative AI Engineer, I am responsible for developing, designing, and maintaining cutting-edge AI-based systems to ensure smooth and engaging user experiences. My role involves creating and developing generative models that have the ability to generate new content, such as images, text, and audio, based on patterns. I work across client teams to develop and architect Generative AI solutions using machine learning and other AI technologies. Additionally, I participate in activities which includes refining and optimizing prompts to improve the outcome of Large Language Models (LLMs). I also evaluate and select appropriate AI tools and machine learning models for tasks, as well as build and train working versions of those models using Python and other open-source technologies.
I have experience in research, data science, and machine learning. I have worked on projects related to deep learning, renewable energy, and dynamic discount algorithms. My education includes a PhD in Mathematical Modelling and a MicroMasters in Statistics and Data Science.
Computer-vision and machine-learning engineer focused on bringing cutting-edge CV and embedded-AI solutions from research to real-world products. Passionate life-long learner with solid academic background and hands-on experience designing, training and optimising deep-learning models for high-performance deployment. I actively leverage artificial intelligence tools (including generative AI) to maximise my productivity – efficiency is my key objective.
Reza is an accomplished CTO and engineer with extensive experience in near-silicon design and problem-solving. He has done stream processing in all kinds of domains, using MQTT-SN, HL7 in healthcare, and mSEED and SEGY in earthquake analysis, utilizing a wide array of databases and programming languages. Passionate about building, Reza has maintained projects such as Ansible, universal-ctags, and QMK, and contributed to the Linux kernel and EDKII (UEFI).
6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
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